其中采用了基于与或图的随机图像语法模型，以此指导对形状物体的理解、分解、学习、采样。
The And-Or graph stochastic grammar is used for the understanding, decomposing, learning and sampling on shape object.
针对此问题，并基于步态能量图（GEI）在步态特征表示上的效果，提出了一种迭代切距离原型学习算法。
To solve this problem, and also based on the fact that gait energy image(GEI) is effective for feature representation, an.
复杂结构归纳学习方法按照知识表示方式不同分为基于逻辑的方法与基于数学图的方法。
The approaches adopted by inductive learning of complex structure can be classified into logic-based ones and graph-based ones according to knowledge representation.
作为一种颇具特色的学习工具，概念图有着非常高的传统学习应用价值，同时在基于网络学习中也一样具有非常广泛的应用前途。
As a quite special tool for learning, concept picture has not only high applied value in traditional learning, but a bright future in learning through cyber.
基于图的学习是近几年来半监督学习中一个相当活跃的方向，它用图来描述样本空间，利用近邻点的位置来控制标记信息的传播。
Graph-based learning is a very active direction of semi-supervised learning in recent years. It describes the sample space by graph, and USES neighbors to spread label information in point cloud.
基于图的学习是近几年来半监督学习中一个相当活跃的方向，它用图来描述样本空间，利用近邻点的位置来控制标记信息的传播。
Graph-based learning is a very active direction of semi-supervised learning in recent years. It describes the sample space by graph, and USES neighbors to spread label information in point cloud.
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